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1) Upper Part:
a) Left part: This part shows information about the state, “Inhomogeneous” of
stochasticity of this variable/parameter, “Mechanisms”, its location on the cell,”
Compartment”, and full name with units, “PARAMETER”. It also indicates whether this
variable/parameter is spatially inhomogeneous.
b) Right part “Bounding”: Here you can select the parametric domain of (DF)
density function of the stochastic variable, either non-infinite “Keep as is”, from above
“Bound from above”, from below “Bound from below”, or from both sides, “Bound from
both sides”. The full definition of any mode is on the right of the panel.
2) Stochastic Model: This part allows you to select the type of stochasticity, either
“White noise” or “Coloured noise”, with PSD of different alpha correlation.
a) Simple Model: This part includes standard models such as “Uniform”,
“Normal”, “Logarithmic”, “Exponential”, “Erlang”, and “Weibull” distributionы. You
can select any of these models. The selection of any distribution is accompanied by a pop-
up panel containing the distribution's corresponding parameters.
b) Custom expression: You can add various stochastic functions by writing in
line. (For premium users)
c) Custom expression: You can add your various stochastic functions by writing
and including them in "hoc"-files. (For premium users)
d) Table and linear interpolation. You can add the experimental data to a table.
(For premium users)
e) Special Functions: The user is given a unique set of simple functions to test
stochastic variables. The function (1,0,0,…) is a numerical delta function with a uniform
spectrum distribution. The function (1,1,1, …) is a function with zero frequency. The
function (1,0,-1,1,0,-1, …) is an essential periodic function, cosine with half-Nyquist
frequency. The function (1,-1,1,-1, …) is a basic periodic function cosine with Nyquist
frequency. Function Foo is an essential periodic function.
3) Visualize and Model Part: This part allows you to model and visualise the selected
type of stochastic distribution. You can:
a) Visualize the distribution density (DF) function for infinite trials.
b) Generate a sample of random numbers according to the chosen function.
Several are indicated on the panel.
c) Visualize the density function (DF) for this sample and the ideal function.
d) Build the autocorrelation function (ACF) of this sample.
e) Build this sample's power spectral density (PSD) function.
4) Apply or Disable Part: In the end, two buttons allow you to accept or refuse the
stochasticity of this variable.
Important. The stochastic dynamics can be computed using a special run control
panel, “AltRunControl”, provided by “BrainCell”.